# Hanumanthreddy Gopavarapu

> AI Engineer @ Mudralabs | EX Software Engineer @ KLogs Solutions

Location: San Jose, California, United States
Profile: https://flows.cv/hanumanthreddy

Software Engineer with 2 years of hands-on experience building production systems across backend engineering, distributed microservices, AI/LLM integration, cloud infrastructure (AWS), event-driven architecture, and cloud data pipelines. Designed and shipped RAG pipelines, AI agents, scalable APIs, and real-time data systems in enterprise environments. MS Computer Science, University of North Texas—GPA 3.8/4.0, Distinguished Student Award 2025.

## Work Experience
### Software Engineer @ mudralabs
Jan 2025 – Present | United States
• Designed and integrated AI agents and RAG pipelines using Pinecone and ChromaDB with GPT-4 and Claude API - enabling context-aware automated query handling that reduced manual document triage time by 55% across enterprise operations workflows.
• Architected event-driven microservices using async message patterns and loosely coupled service boundaries - eliminating cascading failures during peak load and enabling independent scaling across distributed cloud-native services.
• Provisioned and managed AWS cloud infrastructure (EC2, S3, Lambda, RDS) including serverless event-driven jobs and auto-scaling policies - maintaining 99.5%+ pipeline availability and cutting infrastructure provisioning time by 40% through IaC automation.
• Implemented backend microservices in Node.js and Python for LLM API orchestration with circuit breakers, retry logic, adaptive rate limiting, and request caching - achieving sub-400ms p95 response times under variable LLM latency conditions.
• Designed relational and vector database schemas for high-throughput operations; built document preprocessing pipelines for chunking and embedding generation - improving semantic search retrieval precision by structuring context for downstream LLM generation.
• Built real-time and batch cloud data pipelines connecting event streams to downstream cloud storage and analytics layers - ensuring data consistency and reducing pipeline lag to under 2 seconds for time-sensitive operational data.
• Containerized services with Docker and maintained Prometheus/Grafana/Kibana observability stack with structured alerting - reducing mean time to detect(MTTD) incidents by 50% compared to prior reactive monitoring approach.

### Graduate Software Engineer @ University of North Texas
Jan 2024 – Jan 2025 | Denton, Texas, United States
• Maintained and monitored university department websites, ensuring 99%+ uptime
• Implemented WCAG AAA accessibility compliance using Stark and AChecker tools
• Assisted faculty with building research project websites and testing environments
• Improved website accessibility for users with disabilities (color contrast, alt text, keyboard navigation)

### Graduate Teaching Assistant @ University of North Texas
Jan 2023 – Jan 2024 | Denton, Texas, United States
• Mentored 150+ students in Data Science and Big Data courses
• Taught Python, SQL, Pandas, and data analysis techniques
• Facilitated hands-on labs on distributed data processing (Spark, Kafka)
• Conducted code reviews and provided feedback on programming assignments

### Software Engineer @ KLOG Solutions
Jan 2022 – Jan 2023 | Hyderabad
• Diagnosed and resolved a critical production WebSocket outage (85% error rate, 200+ users affected): traced reconnection storms via error log and network traffic analysis; implemented connection pooling, retry logic, and heartbeat mechanism - restoring stability within hours and dropping error rate below 5%.
• Reduced API response time by 75% (800ms to 200ms) on high-traffic endpoints: identified missing indexes on frequently-joined MySQL tables, refactored query patterns, and tuned connection pool settings - fully resolving customer-facing performance complaints and recovering SLA compliance.
• Built monitoring dashboards tracking API health, latency, error rates, and throughput; participated in on-call rotation with structured post-mortems - achieving zero repeat incidents from previously resolved failure modes across the production lifecycle.
• Enforced SQL injection prevention, JWT authentication, and input validation throughout the codebase; wrote unit and integration tests (JUnit, Jest) achieving high coverage across all critical business logic and API endpoints.
• Collaborated with product, frontend, QA, and infrastructure teams defining API contracts, translating requirements into deliverables, and communicating incident status clearly to non-technical stakeholders.


## Education
### Master's degree in Computer Science
University of North Texas

### Bachelor of Technology - BTech in Computer science and engineering
Jawaharlal Nehru Technological University Hyderabad (JNTUH)


## Contact & Social
- LinkedIn: https://linkedin.com/in/ghanumanthreddy
- Portfolio: https://ghanureddy.github.io/portfolio/

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Source: https://flows.cv/hanumanthreddy
JSON Resume: https://flows.cv/hanumanthreddy/resume.json
Last updated: 2026-04-11